scholarly journals Photonic Spin Lattices: Symmetry Constraints for Skyrmion and Meron Topologies

2021 ◽  
Vol 127 (23) ◽  
Author(s):  
Xinrui Lei ◽  
Aiping Yang ◽  
Peng Shi ◽  
Zhenwei Xie ◽  
Luping Du ◽  
...  
2018 ◽  
Vol 778 ◽  
pp. 43-47 ◽  
Author(s):  
Peter C. Bruns ◽  
Maxim Mai

2018 ◽  
Vol 3 (10) ◽  
Author(s):  
Pedro J. Sáenz ◽  
Giuseppe Pucci ◽  
Alexis Goujon ◽  
Tudor Cristea-Platon ◽  
Jörn Dunkel ◽  
...  
Keyword(s):  

2017 ◽  
Vol 114 (10) ◽  
pp. 2474-2478 ◽  
Author(s):  
Anup Kumar ◽  
Eyal Capua ◽  
Manoj K. Kesharwani ◽  
Jan M. L. Martin ◽  
Einat Sitbon ◽  
...  

Noncovalent interactions between molecules are key for many biological processes. Necessarily, when molecules interact, the electronic charge in each of them is redistributed. Here, we show experimentally that, in chiral molecules, charge redistribution is accompanied by spin polarization. We describe how this spin polarization adds an enantioselective term to the forces, so that homochiral interaction energies differ from heterochiral ones. The spin polarization was measured by using a modified Hall effect device. An electric field that is applied along the molecules causes charge redistribution, and for chiral molecules, a Hall voltage is measured that indicates the spin polarization. Based on this observation, we conjecture that the spin polarization enforces symmetry constraints on the biorecognition process between two chiral molecules, and we describe how these constraints can lead to selectivity in the interaction between enantiomers based on their handedness. Model quantum chemistry calculations that rigorously enforce these constraints show that the interaction energy for methyl groups on homochiral molecules differs significantly from that found for heterochiral molecules at van der Waals contact and shorter (i.e., ∼0.5 kcal/mol at 0.26 nm).


2016 ◽  
Vol 55 (18) ◽  
pp. 9240-9249 ◽  
Author(s):  
Liurukara. D. Sanjeewa ◽  
Michael A. McGuire ◽  
Colin D. McMillen ◽  
Daniel Willett ◽  
George Chumanov ◽  
...  
Keyword(s):  

2018 ◽  
Vol 115 (45) ◽  
pp. 11608-11612 ◽  
Author(s):  
Matthew D. Therkelsen ◽  
Thomas Klose ◽  
Frank Vago ◽  
Wen Jiang ◽  
Michael G. Rossmann ◽  
...  

Flaviviruses assemble initially in an immature, noninfectious state and undergo extensive conformational rearrangements to generate mature virus. Previous cryo-electron microscopy (cryo-EM) structural studies of flaviviruses assumed icosahedral symmetry and showed the concentric organization of the external glycoprotein shell, the lipid membrane, and the internal nucleocapsid core. We show here that when icosahedral symmetry constraints were excluded in calculating the cryo-EM reconstruction of an immature flavivirus, the nucleocapsid core was positioned asymmetrically with respect to the glycoprotein shell. The core was positioned closer to the lipid membrane at the proximal pole, and at the distal pole, the outer glycoprotein spikes and inner membrane leaflet were either perturbed or missing. In contrast, in the asymmetric reconstruction of a mature flavivirus, the core was positioned concentric with the glycoprotein shell. The deviations from icosahedral symmetry demonstrated that the core and glycoproteins have varied interactions, which likely promotes viral assembly and budding.


2010 ◽  
Vol 36 (3) ◽  
pp. 481-504 ◽  
Author(s):  
João V. Graça ◽  
Kuzman Ganchev ◽  
Ben Taskar

Word-level alignment of bilingual text is a critical resource for a growing variety of tasks. Probabilistic models for word alignment present a fundamental trade-off between richness of captured constraints and correlations versus efficiency and tractability of inference. In this article, we use the Posterior Regularization framework (Graça, Ganchev, and Taskar 2007) to incorporate complex constraints into probabilistic models during learning without changing the efficiency of the underlying model. We focus on the simple and tractable hidden Markov model, and present an efficient learning algorithm for incorporating approximate bijectivity and symmetry constraints. Models estimated with these constraints produce a significant boost in performance as measured by both precision and recall of manually annotated alignments for six language pairs. We also report experiments on two different tasks where word alignments are required: phrase-based machine translation and syntax transfer, and show promising improvements over standard methods.


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